| Comparison of classification algorithms for physical activity recognition T Peterek, M Penhaker, P Gajdoš, P Dohnálek Innovations in Bio-inspired Computing and Applications: Proceedings of the …, 2014 | 41 | 2014 |
| Performance evaluation of Random Forest regression model in tracking Parkinson's disease progress T Peterek, P Dohnálek, P Gajdoš, M Šmondrk 13th International Conference on Hybrid Intelligent Systems (HIS 2013), 83-87, 2013 | 28 | 2013 |
| Classification of cardiotocography records by random forest P Tomáš, J Krohova, P Dohnalek, P Gajdoš 2013 36th International conference on telecommunications and signal …, 2013 | 28 | 2013 |
| Human fetus health classification on cardiotocographic data using random forests T Peterek, P Gajdoš, P Dohnálek, J Krohová Intelligent Data analysis and its Applications, Volume II: Proceeding of the …, 2014 | 22 | 2014 |
| Advanced experimental medical diagnostic system design and realization M Penhaker, M Stankus, M Prauzek, O Adamec, T Peterek, M Cerny, ... Elektronika Ir Elektrotechnika 117 (1), 89-94, 2012 | 18 | 2012 |
| Assessment of Parkinson's disease progression using neural network and ANFIS models J Hlavica, M Prauzek, T Peterek, P Musilek Neural Network World 26 (2), 111, 2016 | 17 | 2016 |
| Human activity recognition: classifier performance evaluation on multiple datasets P Dohnalek, P Gajdoš, T Peterek Journal of Vibroengineering 16 (3), 1523-1534, 2014 | 16 | 2014 |
| Human activity recognition on raw sensor data via sparse approximation P Dohnálek, P Gajdoš, T Peterek 2013 36th International Conference on Telecommunications and Signal …, 2013 | 15 | 2013 |
| Pattern recognition in EEG cognitive signals accelerated by GPU P Dohnálek, P Gajdoš, T Peterek, M Penhaker International Joint Conference CISIS’12-ICEUTE´ 12-SOCO´ 12 Special Sessions …, 2013 | 12 | 2013 |
| Application and comparison of modified classifiers for human activity recognition P Dohnálek, P Gajdoš, P Moravec, T Peterek, V SnáŠel Prz. Elektrotech 89, 55-58, 2013 | 11 | 2013 |
| Novel Method for Deriving Vectorcardiographic Leads Based on Artificial Neural Networks M Vozda, T Peterek, M Cerny Proceedings of the 41st International Congress on Electrocardiol, Bratislava …, 2014 | 10 | 2014 |
| A new method for identification of the significant point in the plethysmografical record T Peterek, M Prauzek, M Penhaker 2010 2nd International Conference on Signal Processing Systems 1, V1-362-V1-364, 2010 | 9 | 2010 |
| Video processing toolbox for fpga powered hardware V Kasik, T Peterek International Conference on Software and Computer Applications, 2011 | 7 | 2011 |
| Tensor modification of orthogonal matching pursuit based classifier in human activity recognition P Dohnálek, P Gajdoš, T Peterek Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems, 497-505, 2013 | 6 | 2013 |
| Principal component analysis and fuzzy clustering of SA HRV during the Orthostatic challenge T Peterek, J Krohova, M Smondrk, M Penhaker 2012 35th International Conference on Telecommunications and Signal …, 2012 | 6 | 2012 |
| Analog signal preprocessing in reflected Plethysmography M Prauzek, T Peterek, O Adamec, M Penhaker 2010 2nd International Conference on Signal Processing Systems 1, V1-358-V1-361, 2010 | 6* | 2010 |
| Recognition of pathological beats in ecg signals based on singular value decomposition of wavelet coefficients and support vector machine T Peterek, L Zaorálek, P Dohnálek, P Gajdos 2015 38th International Conference on Telecommunications and Signal …, 2015 | 5 | 2015 |
| An overview of classification techniques for human activity recognition P Dohnalek, P Gajdoš, T Peterek, V Snášel Vibroengineering Procedia 2, 117-122, 2013 | 5 | 2013 |
| Comparison of feature reduction methods in the task of arrhythmia classification L Zaorálek, T Peterek, P Dohnálek, P Gajdoš Proceedings of the Fifth International Conference on Innovations in Bio …, 2014 | 4 | 2014 |
| Emotional state and its impact on voice authentication accuracy M Voznak, P Partila, M Penhaker, T Peterek, K Tomala, F Rezac, J Safarik Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net …, 2013 | 4 | 2013 |
Marek PenhakerVSB- Technical University of Ostrava, Full Professor in Biomedical Engineering, Guarantee of studyE-mailová adresa ověřena na: vsb.cz
